Variations in start date, end date, frequency and intensity of yearly temperature extremes across China during the period 1961–2017

Han, Jingya; Miao, Chiyuan; Duan, Qingyun; Wu, Jingwen; Lei, Xiaohui; Liao, Weihong

doi:10.1088/1748-9326/ab7390

Cited by 20 publications

(16 citation statements)

References 79 publications

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“…For China, Han et al . (2020) analysed the changes in the start date and end date of yearly temperature extremes between 1961 and 2017. Their results showed that the warm extremes started earlier (−3.43 days·decade −1 ) and ended later (3.15 days·decade −1 ).…”

Section: Introductionmentioning

confidence: 99%

A 41‐year bioclimatology of thermal stress in Europe

Antonescu

Mărmureanu

Vasilescu

et al. 2021

Intl Journal of Climatology

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The bioclimatology of thermal stress over Europe between 1979 and 2019 was analysed using the Universal Thermal Climate Index (UTCI) derived from ERA5‐HEAT reanalysis. The bioclimatology of different European regions was assessed using Köppen–Geiger climate classification. The annual number of hours with heat stress (UTCI > 32°C) increased significantly during the study period for all the analysed Köppen–Geiger climate subclasses, showing also a clear increase towards southern Europe. The highest percentage of hours (20% of all hours) with cold stress (UTCI < −13°C) occur over northern Europe. A significant increasing trend (>0.05 hr·year−1) in the number of hours with heat stress was observed for 23 out of 32 analysed European cities representative for the Köppen–Geiger climate subclasses. For these cities not only the number of hours with heat stress has increased but also the heat stress is more persistent, while the number of cases and the persistence of the periods with cold stress have decreased over the last four decades. The UTCI values showed a statistically significant increase between 0.6 and 3.2°C for all the analysed cities over the study period reflecting the rising of global mean temperatures.

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Section: Introductionmentioning

confidence: 99%

A 41‐year bioclimatology of thermal stress in Europe

Antonescu

Mărmureanu

Vasilescu

et al. 2021

Intl Journal of Climatology

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“…In general, during the global warming hiatus, the increasing trends of warm extremes in China and in most of its regions were diminished relative to the HIS and RF periods, although warm extremes were significantly warmer over most areas, as mentioned in previous studies (Li et al ., 2015; Shen et al ., 2018; Han et al ., 2020).…”

Section: Resultsmentioning

confidence: 99%

“…During the global warming hiatus, air temperature in China was found to decrease by −0.221°C/10a (Du et al ., 2019). Nighttime extremes in China during 1961–2017 were strongly related to climate change (Han et al ., 2020). However, the detailed characteristics of climate extremes in China during the hiatus are still not well known.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of climate extremes in China during the recent global warming hiatus based upon machine learning

Qin

Shi

2021

Intl Journal of Climatology

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During 1998–2013, global surface air temperature increased more slowly than greenhouse gas concentrations, and therefore this period was defined as a “global warming hiatus.” The characteristics of climate extremes in China during this period are still not clear. In this study, based on 2,841 meteorological station observations in China, the trends of precipitation and temperature extremes during the global warming hiatus were investigated relative to the reference period (RF) (1982–1997) and the whole historical period (HIS) (1982–2017). Machine learning was used to capture the nonlinear regression of climate extremes, and the Theil–Sen method with the Mann–Kendall significant test was used to calculate the slopes of their linear trends. During the global warming hiatus, annual and summer (JJA) warmest days TXx and the number of summer days SU over the whole of China and most of its four subregions were found to decrease relative to the HIS and RF periods. Annual and winter (DJF) coldest nights TNn over China and its four subregions were found to decrease moderately relative to the HIS and RF periods, whereas the number of frost days FD increased consistently. Precipitation extremes showed more temporal and spatial variability than temperature extremes. Trends of annual and JJA wet extremes during the hiatus were found to decrease relative to the HIS and RF periods, whereas the dry extreme index during the hiatus was found to increase generally over China and in most subregions. Lighter winds and lower relative humidity over most areas of China might have contributed to less pronounced trends of wet extremes during the hiatus period.

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“…One step forward to face the climate forcing challenges is through the projection of future rainfall scenarios. Global climate models (GCMs) developed by many organizations with Coupled Model Intercomparison Project (CMIP) are the progressive and advanced data to assess future challenges [9]. The current version of CMIP is CMIP6 is an ensemble of CMIP-endorsed Model Intercomparison Projects (MIPs) that provides an extensive version compared to CMIP5 in terms of the number of models and releases scenarios [10].…”

Section: Introductionmentioning

confidence: 99%

Long-term rainfall projection based on CMIP6 scenarios for Kurau River Basin of rice-growing irrigation scheme, Malaysia

2022

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Rainfall is a vital component in the rice water demand model for estimating irrigation requirements. Information on how the future patterns are likely to evolve is essential for rice-growing management. This study presents possible changes in the future monthly rainfall patterns by perturbing model parameters of a stochastic rainfall using the change factor method for the Kerian rice irrigation scheme in Malaysia. An ensemble of five Global Climate Models under three Shared Socioeconomic Pathways (SSPs) (SSP1-2.6, SSP2-4.5, and SSP5-8.5) were employed to project rainfall from 2021 to 2080. The results show that the stochastic rainfall generator performed well at preserving the statistical properties between simulated and observed rainfall. Most scenarios predict the increasing trend of the mean monthly rainfall with only a few months decreasing in April and May occurring in off (dry) season. The future patterns 2051–2080 show a significant increasing trend during main (wet) season compared to the near future period (2021–2050). The projected future rainfall under SSP1-2.6 and SSP2-4.5 are higher than SSP5-8.5 from January to July, and December but lower from August to November. The projected annual rainfall will significantly increase toward 2080 during the main-season but uniform during the off-season except under SSP5-8.5, which is significantly decreasing. The output results are essential for rice farmers and water managers to manage and secure future rice irrigation water under the impact of future climate change. The projected changes in rainfall on the river basin demand further study before concluding the impact consequences for the rice sector. Article highlights The rainfall generator performs well in simulating future rainfall based on an ensemble of five different GCMs considering three different scenarios emission (low, medium, and high) caused by greenhouse gas and radiative forcing. The future rainfall projection predicted that off (dry) season would become wet, and main (wet) season would become wetter due increase in monthly and annual rainfall. The outcomes of this paper are beneficial for rice farmers and water managers of the study area to manage their rice cultivation and water release from the reservoir schedules to avoid losses due to flood and drought.

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Variations in start date, end date, frequency and intensity of yearly temperature extremes across China during the period 1961–2017

Cited by 20 publications

References 79 publications

A 41‐year bioclimatology of thermal stress in Europe

A 41‐year bioclimatology of thermal stress in Europe

Characteristics of climate extremes in China during the recent global warming hiatus based upon machine learning

Long-term rainfall projection based on CMIP6 scenarios for Kurau River Basin of rice-growing irrigation scheme, Malaysia

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